Abstract：
:Supervision of batch bioprocess operations in real-time during the progress of a batch run offers many advantages over end-of-batch quality control. Multivariate statistical techniques such as multiway partial least squares (MPLS) provide an efficient modeling and supervision framework. A new type of MPLS modeling technique that is especially suitable for online real-time process monitoring and the multivariate monitoring charts are presented. This online process monitoring technique is also extended to include predictions of end-of-batch quality measurements during the progress of a batch run. Process monitoring, quality estimation and fault diagnosis activities are automated and supervised by embedding them into a real-time knowledge-based system (RTKBS). Interpretation of multivariate charts is also automated through a generic rule-base for efficient alarm handling. The integrated RTKBS and the implementation of MPLS-based process monitoring and quality control are illustrated using a fed-batch penicillin production benchmark process simulator.
journal_name
J Biotechnoljournal_title
Journal of biotechnologyauthors
Undey C,Tatara E,Cinar Adoi
10.1016/j.jbiotec.2003.10.004subject
Has Abstractpub_date
2004-02-19 00:00:00pages
61-77issue
1eissn
0168-1656issn
1873-4863pii
S0168165603002700journal_volume
108pub_type
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